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Deployment DevOps Engineer for Gen AI Platform (Remote)

Adaptive ML

Toronto

Hybrid

CAD 100,000 - 140,000

Full time

Today
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Job summary

A generative AI solutions company based in Toronto is seeking an experienced DevOps Engineer to streamline product deployment and support robust, scalable systems. In this role, you will tackle challenges like managing complex GPU infrastructure and customer escalations. Ideal candidates have significant DevOps experience and a commitment to exceptional user experiences. This position allows for remote work when required.

Benefits

Comprehensive medical insurance
401(k) plan with 4% matching
Unlimited PTO
Mental health and wellness stipends
Visa sponsorship available

Qualifications

  • Significant experience (>6-8 years) in DevOps, DevSecOps, Tech Support or SRE.
  • Experience in high-pressure roles such as on-call support or security operations.
  • Strong experience in maintaining high-uptime SLA services.
  • Comfortable with live interactions with Fortune-500 customers.
  • Strong security baseline including incident detection and containment.

Responsibilities

  • Build systematic K8s workflows to deploy our product.
  • Assist product deployment and support customer success.
  • Provide first line of support for customer escalations.
  • Contribute to deployment support across North America time zones.
  • Coordinate product roadmap between Commercial Staff and Technical Staff.
  • Communicate clearly with a bias for asynchronous written communication.

Skills

Kubernetes
Technical support
Networking
Postgres
Security management
User experience focus

Tools

Helm
ArgoCD
EKS
AKS
GKE
Job description
A generative AI solutions company based in Toronto is seeking an experienced DevOps Engineer to streamline product deployment and support robust, scalable systems. In this role, you will tackle challenges like managing complex GPU infrastructure and customer escalations. Ideal candidates have significant DevOps experience and a commitment to exceptional user experiences. This position allows for remote work when required.
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